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In this article, we report the first case of a 61-year-old woman who was diagnosed with both nodules and cystic lesions in her lungs. The lung nodules were diagnosed as ALK-positive histiocytosis (APH) carrying an gene fusion, which microscopically displayed a mixed morphology of foamy cells, spindle cells, and Touton's giant cells. Immunohistochemistry showed expression of CD163, CD68, and ALK, while fluorescence hybridization (FISH) with second-generation sequencing (NGS) showed the ALK gene fusion with the FLCN gene variant.

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Juvenile scleroderma (JS) is a rare chronic connective tissue disorder characterized by stiffening of the skin and soft tissues, including the oral cavity and perioral tissues, leading to fibrosis and a large spectrum of internal organs involvement, cosmetic defects, and early infant disability. The aim of this study was to investigate the histomorphological features of lesions of oral mucosa tissues in children with juvenile scleroderma (JS). 39 JS patients (9 with juvenile systemic sclerosis - JSS and 20 with juvenile scleroderma of head-JSH aged from 5 to 17 years were observed with dental examination and morphological investigation of the dental mucosa.

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Background: Saidi sheep are one of the most important farm animals in Upper Egypt, particularly in the Assiut governorate. Since they can provide meat, milk, fiber, and skins from low-quality roughages, sheep are among the most economically valuable animals bred for food in Egypt. Regarding breeding, relatively little is known about the Saidi breed.

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Introduction: Low-grade myofibroblastic sarcoma (LGMS) is an atypical and extremely infrequent type of tumor, primary mass being usually present in subcutaneous and soft tissue. Bony involvement is very rare. It has a very high chance of recurrence locally due to its aggressive biological behavior, metastasis in other parts of body is rarely seen.

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Self-interactive learning: Fusion and evolution of multi-scale histomorphology features for molecular traits prediction in computational pathology.

Med Image Anal

January 2025

Nuffield Department of Medicine, University of Oxford, Oxford, UK; Department of Engineering Science, University of Oxford, Oxford, UK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK; Ludwig Institute for Cancer Research, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK; Oxford National Institute for Health Research (NIHR) Biomedical Research Centre, Oxford, UK. Electronic address:

Predicting disease-related molecular traits from histomorphology brings great opportunities for precision medicine. Despite the rich information present in histopathological images, extracting fine-grained molecular features from standard whole slide images (WSI) is non-trivial. The task is further complicated by the lack of annotations for subtyping and contextual histomorphological features that might span multiple scales.

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